Design of an event-triggered joint adaptive high-Gain observer for a class of nonlinear system with unknown states and parameters
In this paper, an event-triggered joint adaptive high-gain observer design method is
proposed for a class of nonlinear systems that are characterized by an unknown parameter …
proposed for a class of nonlinear systems that are characterized by an unknown parameter …
Design of a joint adaptive high‐gain observer for a class of nonlinear sampled‐output system with unknown states and parameters
In this article, a joint adaptive high‐gain observer design method is proposed for a class of
nonlinear systems subject to sampled output data measurements. The considered class of …
nonlinear systems subject to sampled output data measurements. The considered class of …
Log-Euclidean metric based covariance propagation on SPD manifold for continuous–discrete extended Kalman filtering
For nonlinear systems with continuous dynamic and discrete measurements, a Log-
Euclidean metric (LEM) based novel scheme is proposed to refine the covariance …
Euclidean metric (LEM) based novel scheme is proposed to refine the covariance …
Filtered high-gain observer design for a class of nonlinear systems subject to delayed measurements: Application to a quadrotor UAV
In this paper, a novel structure of a Filtered high-gain Observer is proposed for a class of
nonlinear systems subject to delayed measurements, bounded disturbances and noise …
nonlinear systems subject to delayed measurements, bounded disturbances and noise …
Delay estimation for nonlinear systems with unknown output delay
In this letter, the problems of delay identifiability and delay estimation for a nonlinear
systems subject to constant unknown output delay are studied. Usually, the estimation of …
systems subject to constant unknown output delay are studied. Usually, the estimation of …
Adaptive Neural Network-Based Sliding Mode Controller For Trajectory Tracking of A Quadrotor UAV
This paper introduces a novel adaptive neural network-based sliding mode controller for
trajectory tracking of a quadrotor UAV under unknown parameters such as inertia and mass …
trajectory tracking of a quadrotor UAV under unknown parameters such as inertia and mass …
Adaptive Neural Network-Based PID Controller Design for Velocity Control of an Internal Combustion Engine Using Back Propagation Technique
Precise velocity control in internal combustion engines (ICEs) is essential for optimizing
performance, improving fuel efficiency, and minimizing emissions. However, the nonlinear …
performance, improving fuel efficiency, and minimizing emissions. However, the nonlinear …